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» An objective evaluation criterion for clustering
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TOCS
1998
114views more  TOCS 1998»
13 years 7 months ago
Performance Evaluation of the Orca Shared-Object System
Orca is a portable, object-based distributed shared memory system. This paper studies and evaluates the design choices made in the Orca system and compares Orca with other DSMs. T...
Henri E. Bal, Raoul Bhoedjang, Rutger F. H. Hofman...
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
15 years 15 days ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 7 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
VLDB
1995
ACM
66views Database» more  VLDB 1995»
13 years 11 months ago
A Performance Evaluation of OID Mapping Techniques
In this paper, three techniques to implement logical OIDs are thoroughly evaluated: hashing, B-trees and a technique called direct mapping. Among these three techniques, direct ma...
André Eickler, Carsten Andreas Gerlhof, Don...
ILP
2005
Springer
14 years 1 months ago
Spatial Clustering of Structured Objects
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
Donato Malerba, Annalisa Appice, Antonio Varlaro, ...